Optimise capex allocation using subscriber-specific data and mobility intelligence
with DSpark's CAPEX Optimizer
Industry shift to incremental deployment of network capacity amid stagnating service revenue across markets
Increasing focus on RoI in allocation of capex
Inadequate visibility on how network and subscriber-level data fit together in capex optimisation
Big data approach to network planning process
Able to analyse subscriber behaviour using mobility intelligence and provided insights
Provided insights include customer experience, churn, high value corridors and more
Insights generated are fully compliant with privacy laws and regulations
How do I provide site-by-site upgrade recommendations by band?
What in-depth analysis can I generate with the output optimisation scenario?
Which sites contribute the most in revenue from high-value subscribers?
How much revenue is lost due to customers at risk of churn?
Take into account current, future, and latent demand for calls, SMS, and mobile data
Estimate the revenue that each cell and site contributes based on each subscriber's ARPU and usage
Utilise the Home-Work and Stay Duration genomes from DSpark’s powerful analytics software engine
How it Works
The CAPEX Optimizer recommends an optimised list of sites for upgrading with respective upgrade configuration recommendations, based on multiple objectives or criteria that satisfy a set of user-specific constraints.